[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-midjourney-v8-2k-video-10-dollar-month-en":3,"article-related-midjourney-v8-2k-video-10-dollar-month-en":31,"series-model-release-f147994e-931f-474f-8478-3c247b4e250a":83},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":30},"f147994e-931f-474f-8478-3c247b4e250a","midjourney-v8-2k-video-10-dollar-month-en","Midjourney v8: 2K output, 10s video, $10\u002Fmonth","\u003Cp data-speakable=\"summary\">Midjourney v8.1 is the default model, adding 2K output, faster renders, and short video.\u003C\u002Fp>\u003Cp>Midjourney v8.1 became the default model on \u003Ca href=\"https:\u002F\u002Fbeginnersinai.org\u002Fmidjourney-v8-explained\u002F\" target=\"_blank\" rel=\"noopener\">Midjourney\u003C\u002Fa> on April 30, 2026, with the company’s v8 rollout centered on native 2K output, faster image generation, and a new short video mode. The subscription ladder starts at $10 a month and rises to $120 for high-volume studio use.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>v8 alpha launch\u003C\u002Ftd>\u003Ctd>March 17, 2026\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>v8.1 default date\u003C\u002Ftd>\u003Ctd>April 30, 2026\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Video length\u003C\u002Ftd>\u003Ctd>10 seconds\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Video frame rate\u003C\u002Ftd>\u003Ctd>60 fps\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Render speed vs v7\u003C\u002Ftd>\u003Ctd>4-5x faster\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Basic plan\u003C\u002Ftd>\u003Ctd>$10\u002Fmonth\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Mega plan\u003C\u002Ftd>\u003Ctd>$120\u002Fmonth\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>What changed\u003C\u002Fh2>\u003Cp>v8’s biggest shift is native 2K HD output, so users no longer need a separate upscale step for many jobs. The model also improves text rendering, which matters for posters, labels, and branded visuals that used to break in earlier versions.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779405356035-dpq8.png\" alt=\"Midjourney v8: 2K output, 10s video, $10\u002Fmonth\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Midjourney also added image-to-video and text-to-video in the v8 pipeline. The clips top out at 10 seconds at 60 fps, which puts the feature in a stylized short-form lane rather than full production video.\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fmidjourney.com\" target=\"_blank\" rel=\"noopener\">Midjourney\u003C\u002Fa> still runs as a closed model, with access through Discord, the web app, or a limited API.\u003C\u002Fli>\u003Cli>Discord remains the center of the user community, but the web app is now the default entry point for many new users.\u003C\u002Fli>\u003Cli>The --hd flag uses 4x GPU time per generation.\u003C\u002Fli>\u003Cli>The --q 4 flag also uses 4x GPU time, and the two stack to 16x when combined.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>For workflow, the company now gives users three paths: Discord for the community-heavy experience, the web app for cleaner generation, and an \u003Ca href=\"\u002Ftag\u002Fapi\">API\u003C\u002Fa> that is still rolling out in limited form. Most programmatic use still depends on third-party wrappers or web-app scripting.\u003C\u002Fp>\u003Ch2>Why it matters\u003C\u002Fh2>\u003Cp>For developers, the practical change is less about a new interface and more about output quality and cost control. If you are building image workflows, the model’s higher default quality and faster renders reduce post-processing, but the credit burn from --hd and --q 4 can make heavy use expensive fast.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779405355923-eikd.png\" alt=\"Midjourney v8: 2K output, 10s video, $10\u002Fmonth\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>For the market, v8 keeps Midjourney in a strong position for stylized still images even as competitors push harder on consistency and video. The article’s comparison is clear: Midjourney is still the better fit for art direction and mood boards, while tools such as \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fdall-e-3\" target=\"_blank\" rel=\"noopener\">DALL-E 3\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fstability.ai\u002Fstable-diffusion\" target=\"_blank\" rel=\"noopener\">Stable Diffusion\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.blackforestlabs.ai\u002Fflux\" target=\"_blank\" rel=\"noopener\">Flux\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Frunwayml.com\" target=\"_blank\" rel=\"noopener\">Runway\u003C\u002Fa> win on other workflows.\u003C\u002Fp>\u003Cp>The tradeoff is still consistency. Midjourney’s character matching helps, but it does not lock identity across a long sequence the way some rivals do. That makes v8 a strong tool for single-image work and a weaker choice for comics, storyboards, and product sequences that need the same subject to stay identical.\u003C\u002Fp>\u003Cp>The open question is whether Midjourney will keep winning on taste alone as video, identity control, and API maturity become bigger buying factors.\u003C\u002Fp>","Midjourney v8.1 is now the default model, with 2K output, faster renders, 10-second video, and plans starting at $10\u002Fmonth.","beginnersinai.org","https:\u002F\u002Fbeginnersinai.org\u002Fmidjourney-v8-explained\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779405356035-dpq8.png","model-release","en","32e61e89-433e-4e3e-adfa-95ab002c5cc7",[17,18,19,20,21,22],"Midjourney v8","AI image models","text-to-video","2K output","Discord","pricing",[24,25,26],"v8.1 is the default model and brings native 2K output plus faster renders.","New video support tops out at 10 seconds and 60 fps.","Heavy settings like --hd and --q 4 can burn credits 16x faster than standard output.",6,"2026-05-21T23:15:34.532189+00:00","2026-05-21T23:15:34.531+00:00","1bae1133-d241-4581-9332-fbf39690c319",{"tags":32,"relatedLang":42,"relatedPosts":46},[33,35,37,39,41],{"name":20,"slug":34},"2k-output",{"name":17,"slug":36},"midjourney-v8",{"name":21,"slug":38},"discord",{"name":18,"slug":40},"ai-image-models",{"name":19,"slug":19},{"id":15,"slug":43,"title":44,"language":45},"midjourney-v8-2k-video-10-dollar-month-zh","Midjourney v8：2K、10秒影片、$10起","zh",[47,53,59,65,71,77],{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"58aa41ca-2c5f-44c6-ab07-2002473e95b1","gemini-1-5-pro-002-flash-002-2-0-flash-update-en","Gemini 1.5 Pro-002, Flash-002 and 2.0 Flash update Google AI","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780999383257-jccn.png","2026-06-09T10:02:28.362637+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"435fc551-a461-444a-bf95-dbf5685cfac0","minimax-m3-open-weight-coding-win-en","MiniMax M3 Proves Open-Weight Can Still Win on Coding","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780968781159-odhi.png","2026-06-09T01:32:31.256895+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"12af5a0d-1bbf-4a50-a391-b53f8003f234","gemini-35-flash-pricing-benchmarks-en","Gemini 3.5 Flash Pricing, Context, Benchmarks","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780840981235-e7hm.png","2026-06-07T14:02:30.280485+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"0e767e9d-5d17-4cd0-b6ee-0328f89eb49b","gemma-4-12b-specs-benchmarks-run-locally-en","Gemma 4 12B: Specs, Benchmarks & How to Run It Locally","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780777984661-5ymr.png","2026-06-06T20:32:25.294996+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"9d15f962-739d-44f8-a7f9-11bca64d38e0","best-kimi-models-2026-k2-5-vs-k2-thinking-en","Best Kimi Models in 2026: K2.5 vs K2 Thinking","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780770786284-shy0.png","2026-06-06T18:32:39.779504+00:00",{"id":78,"slug":79,"title":80,"cover_image":81,"image_url":81,"created_at":82,"category":13},"34547376-5d6b-4453-8d80-8072d8ac36ed","kimi-k2-6-open-source-coding-agent-swarm-en","Kimi K2.6 adds open-source coding and agent swarm","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780761781526-wop4.png","2026-06-06T16:02:22.26883+00:00",[84,89,94,99,104,109,114,119,124,129],{"id":85,"slug":86,"title":87,"created_at":88},"d4cffde7-9b50-4cc7-bb68-8bc9e3b15477","nvidia-rubin-ai-supercomputer-en","NVIDIA Unveils Rubin: A Leap in AI Supercomputing","2026-03-25T16:24:35.155565+00:00",{"id":90,"slug":91,"title":92,"created_at":93},"eab919b9-fbac-4048-89fc-afad6749ccef","google-gemini-ai-innovations-2026-en","Google's AI Leap with Gemini 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